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Daniël A Korevaar1, Patrick M Bossuyt2, Matthew D F McInnes3,4

  • 1Department of Respiratory Medicine, Amsterdam University Medical Centres, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, the Netherlands. d.a.korevaar@amsterdamumc.nl.

Diagnostic and Prognostic Research
|April 2, 2021
PubMed
Abstract

No abstract available in PubMed .

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Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
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